60 lines
2.3 KiB
YAML
60 lines
2.3 KiB
YAML
# Copyright The PyTorch Lightning team.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# https://docs.drone.io/pipeline/docker/examples/languages/python/#python-example
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kind: pipeline
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type: docker
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name: torch-GPU
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steps:
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- name: testing
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image: pytorchlightning/pytorch_lightning:base-cuda-py3.7-torch1.6
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environment:
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CODECOV_TOKEN:
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from_secret: codecov_token
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AUTH_TOKEN:
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from_secret: gh_auth_token
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MKL_THREADING_LAYER: GNU
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commands:
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- python --version
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- pip --version
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- nvidia-smi
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- pip install -r ./requirements/devel.txt --upgrade-strategy only-if-needed --no-cache-dir
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- pip install git+https://${AUTH_TOKEN}@github.com/PyTorchLightning/lightning-dtrun.git@v0.0.2 --no-cache-dir
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# when Image has defined CUDa version we can switch to this package spec "nvidia-dali-cuda${CUDA_VERSION%%.*}0"
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- pip install --extra-index-url https://developer.download.nvidia.com/compute/redist nvidia-dali-cuda100 --upgrade-strategy only-if-needed
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- pip list
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- python -m coverage run --source pytorch_lightning -m pytest pytorch_lightning tests -v --durations=25 # --flake8
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# Running special tests
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- sh tests/special_tests.sh
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- coverage report
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- python -m pytest benchmarks pl_examples -v --maxfail=2 --durations=0
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# see: https://docs.codecov.io/docs/merging-reports
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- codecov --token $CODECOV_TOKEN --flags=gpu,pytest --name="GPU-coverage" --env=linux --build $DRONE_BUILD_NUMBER --commit $DRONE_COMMIT
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# --build $DRONE_BUILD_NUMBER --branch $DRONE_BRANCH --commit $DRONE_COMMIT --tag $DRONE_TAG --pr $DRONE_PULL_REQUEST
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# - codecov --token $CODECOV_TOKEN --flags=gpu,pytest --build $DRONE_BUILD_NUMBER
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- python tests/collect_env_details.py
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trigger:
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branch:
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- master
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- release/*
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event:
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include:
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- push
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- pull_request
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